Automobile wheel hub classification method based on word bag model and support vector machine
A technology of support vector machines and automobile hubs, which is applied in computer parts, character and pattern recognition, instruments, etc., can solve the problems of manual completion, time-consuming and laborious, and achieve the effect of high classification accuracy.
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[0018] The present invention will be specifically described below in conjunction with the accompanying drawings; the described implementation examples are only for the purpose of illustration, rather than limiting the scope of the present invention.
[0019] The present invention proposes a method for detecting and classifying automobile wheels based on bag-of-words model and extreme learning machine. The machine classifier recognizes any car wheel as a certain type of car wheel.
[0020] figure 1 is a flowchart of the present invention. refer to figure 1 , the present invention realizes steps as follows:
[0021] Step 1. Preprocess the given car wheel image, and use manual calibration to make it a standard image for training and testing.
[0022] Step 2. Extract global features
[0023] A. Color Feature Analysis of Automobile Wheel Image
[0024] The project intends to analyze the red, green, and blue channels of the car wheel image separately, and study the difference...
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